I despise the use of small sample sizes, but pitchers change so frequently that it’s not so silly after all to evaluate shifts in underlying skills over a relatively small number of starts. So as I do every once in a while, I peruse the SwStk% leaderboard over the last 30 days. Let’s discuss some of the interesting names on there, shall we?
Ready to go swimming? Into the mysterious waters of the free agent pool? Search for these two dudes, they may very well bring you to a championship.
Last week, I discussed the two month BABIP underachievers, identifying names whose marks fell significantly below my xBABIP. Now let’s take a look at some of the hitters whose low BABIP marks are actually validated by xBABIP. These are the guys who at first glance, your knee-jerk reaction might be to expect a dramatic rebound, but the underlying skills that drive BABIP suggest there has been little bad fortune involved. That’s not to say that the hitters are going to maintain such weak skills, but that looking backward, the poor results have been legitimate.
Last week, I discussed the two month BABIP overachievers, identifying names whose marks significantly exceeded my xBABIP. Now let’s take a look at some of the hitters whose high BABIP marks are actually validated by xBABIP. These are the guys who at first glance, your knee-jerk reaction might be to expect heavy regression, but the underlying skills that drive BABIP suggest there has been little fortune involved. That’s not to say that the hitters are going to sustain such skills, but that looking backward, the results have been legitimate.
It’s time to inspire with another edition of the deep league waiver wire. Yay for rhymes.
Yesterday, I discussed a swath of hitters whose BABIP marks sit significantly higher than their xBABIP. Today, it’s time to look at the underachiever list, which is probably more actionable than the overachievers. Let’s take a gander.
Last week, I began my examination of in-season BABIP with a look at how the league was utilizing the defensive shift and individual players were being shifted versus last season. It was a precursor to identifying and discussing where hitters currently stand with regards to my new xBABIP equation, which was developed earlier in the year and accounts for defensive shifts. So let’s dive into the hitters who have overachieved the most, meaning their BABIP marks are significantly higher than their xBABIPs.
At the end of January, I introduced the latest hitter version of xHR/FB, featuring the Statcast fueled metric, Brls/BBE (barrels per batted ball event). I failed to discuss the pitcher side of the ledger, but their barrels against are tracked too, of course. While I haven’t performed any sort of analysis or run a regression, I have to assume that just like for hitters, Brls/BBE allowed by pitchers are going to correlate rather highly with their own HR/FB rates. Unlike for hitters though, it’s probably very inconsistent from year to year, which is why I never bothered to look into it.
My condolences to myself and all you suffering Mike Trout owners. Since I have only had the chance to complain to one of my best friends, I’ll take this opportunity to whine about how it figures that the first year I ever own Trout he hits the DL for the first time. Cross your fingers that my AL Tout Wars team can hold its top position!
In early February, I used our Splits Leaderboard to develop the latest xBABIP equation, the first of which that accounts for defensive shifts. I then talked quite a bit about defensive shifts over the years and how its usage has risen significantly since 2012. So let’s take a look at the fantasy relevant names that have faced a defensive shift far more often than last year, as well as those that have seen fewer of them during their plate appearances.
